Stem Cell ReportsPharmacology & ToxicologyPeer-reviewed journal article
A simplified co-culture reveals altered cardiotoxic responses to doxorubicin in hPSC-derived cardiomyocytes in the presence of endothelial cells
Marcella BresciaiD, James GallantiD, Andrea Chatrian, Paul Keselman, Elsa Sorman Paulsson, Mervyn P.H. MoliD, Rickard SjögreniD, Karine RaymondiD, Valeria V. OrlovaiD, Kalpana Barnes, Richard Wales, Jonas AusterjostiD, Michael W. OlszowyiD, Christine L. MummeryiD, Berend J. van MeeriD, Richard P. DavisiD
Abstract
Cardiotoxicity is a significant challenge in cancer therapies, particularly with doxorubicin, a widely used anthracycline known for its broad anti-cancer spectrum but life-threatening cardiac side effects. There is a critical need for more predictive in vitro models to understand doxorubicin-induced cardiotoxicity and patient-specific drug responses. In this study, we used human pluripotent stem cell (hPSC)-derived cardiomyocytes (hPSC-CMs), cardiac fibroblasts (hPSC-cFBs) and endothelial cells (hPSC-ECs) to investigate the cardiotoxic effects of doxorubicin in two-dimensional mono-and multi-cell type cultures. By mimicking the cumulative dose effect seen in patients through repeated doxorubicin treatments and using a machine learning-based in silico image analysis tool, we could precisely quantify caspase 3/7 activity as an early toxicity marker and identify hPSC-CMs in multi-cell type cultures. This innovative approach allowed continuous monitoring of apoptosis from phase-contrast images, revealing that hPSC-ECs showed higher sensitivity to doxorubicin than isogenic hPSC-CMs or hPSC-cFBs and significantly enhanced cardiomyocyte toxicity in co-culture. In contrast, dermal fibroblasts differentiated from the same hPSC line showed no toxic response under the same treatment regimen. These results challenge the conventional focus on cardiomyocytes as the target of drug-induced cardiac damage. Our findings not only highlight the complex interplay among different cardiac cell types in mediating the toxic effects of doxorubicin, but also demonstrate the potential of AI-enabled tools to advance personalized drug screening and safety assessments.
- organism: human
- assay: bulk RNA-seq
- research focus: cell-cell communication
- research focus: drug response / drug discovery
- approach: machine learning (classical)
- Citations
- 3
- FWCI
- 14.89
- Field percentile
- top 1%
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